Journals

• Micro-Review Synthesis for Multi-Entity Summarization,
  by Thanh-Son Nguyen, Hady W. Lauw, Panayiotis Tsaparas,
  Data Mining and Knowledge Discovery (DAMI), accepted.
• Comparative Relation Generative Model,
  by Maksim Tkachenko and Hady W. Lauw,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 29, No. 4, Apr 2017.
• Probabilistic Models for Contextual Agreement in Preferences,
  by Loc Do and Hady W. Lauw,
  ACM Transactions on Information Systems (TOIS), Vol 34, No. 4, Article No. 21, Sep 2016.
• Semantic Visualization with Neighborhood Graph Regularization,
  by Tuan M. V. Le and Hady W. Lauw,
  Journal of Artificial Intelligence Research (JAIR), Vol 55, 2016.  Award Winning Papers Track. (Code)
  
• A Cooperative Coevolution Framework for Parallel Learning to Rank,
  by Shuaiqiang Wang, Yun Wu, Byron J. Gao, Ke Wang, Hady W. Lauw, and Jun Ma,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 27, No. 12, Dec 2015.
• Review Selection Using Micro-Reviews,
  by Thanh-Son Nguyen, Hady W. Lauw, and Panayiotis Tsaparas,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 27, No. 4, Apr 2015.
• Generative Models for Item Adoptions Using Social Correlation,
  by Freddy C.-T. Chua, Hady W. Lauw, and Ee-Peng Lim,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 25, No. 9, Sep 2013.
  
• Entity Synonyms for Structured Web Search,
  by Tao Cheng, Hady W. Lauw, and Stelios Paparizos,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 24, No. 10, Oct 2012.
  
• Organizing User Search Histories,
  by Heasoo Hwang, Hady W. Lauw, Lise Getoor, and Alexandros Ntoulas,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol 24, No. 5, May 2012.
  
• Quality and Leniency in Online Collaborative Rating Systems,
  by Hady W. Lauw, Ee-Peng Lim and Ke Wang,
  ACM Transactions on the Web (TWEB), Vol 6, No. 1, Mar 2012.
• STEvent: Spatio-Temporal Event Model for Social Network Discovery,
  by Hady W. Lauw, Ee-Peng Lim, HweeHwa Pang, and Teck-Tim Tan,
  ACM Transactions on Information Systems (TOIS), Vol 28, No. 3, Article 15 (June 2010).
• Homophily in the Digital World: A LiveJournal Case Study,
  by Hady W. Lauw, John C. Shafer, Rakesh Agrawal, and Alexandros Ntoulas,
  IEEE Internet Computing: Special Issue on Social Computing in Blogosphere (IC), Vol 14, No. 2, Mar/Apr 2010.
• Bias and Controversy in Evaluation Systems,
  by Hady W. Lauw, Ee-Peng Lim, and Ke Wang,
  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 20, No. 11, Nov 2008.
• Social Network Discovery by Mining Spatio-Temporal Events,
  by Hady W. Lauw, Ee-Peng Lim, HweeHwa Pang, and Teck-Tim Tan,
  Computational & Mathematical Organization Theory (CMOT), Vol. 11, No. 2, 2005, pp. 97-118.
• Shared-Storage E-auctioning Ensures Data Availability,
  by Hady W. Lauw, Siu-Cheung Hui, and Edmund M.-K. Lai,
  IEEE Internet Computing (IC), Vol. 8, No. 5, Sep/Oct 2004, pp.22-28.

Conferences

• Indexable Bayesian Personalized Ranking for Eff€icient Top-k Recommendation,
  by Dung D. Le and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM'17), full paper, Nov 2017.
• Collaborative Topic Regression with Denoising AutoEncoder for Content and Community Co-Representation,
  by Trong T. Nguyen and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM'17), short paper, Nov 2017.
• SemVis: Semantic Visualization for Interactive Topical Analysis,
  by Tuan M. V. Le and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM'17), demo paper, Nov 2017.
• Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN,
  by Quoc-Tuan Truong and Hady W. Lauw,
  ACM Multimedia (ACMMM'17), Oct 2017.
• Basket-Sensitive Personalized Item Recommendation,
  by Duc-Trong Le, Hady W. Lauw, and Yuan Fang,
  International Joint Conference on Artificial Intelligence (IJCAI'17), Aug 2017.
• Semantic Visualization for Short Texts with Word Embeddings,
  by Tuan M. V. Le and Hady W. Lauw,
  International Joint Conference on Artificial Intelligence (IJCAI'17), Aug 2017.
• Plackett-Luce Regression Mixture Model for Heterogeneous Rankings,
  by Maksim Tkachenko and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM'16), Oct 2016. (Code)
  
• Modeling Sequential Preferences with Dynamic User and Context Factors,
  by Duc-Trong Le, Yuan Fang, and Hady W. Lauw,
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD'16), Sep 2016.
• Representation Learning for Homophilic Preferences,
  by Trong T. Nguyen and Hady W. Lauw,
  ACM Conference on Recommender Systems (RecSys'16), Sep 2016.
  
• Word Clouds with Latent Variable Analysis for Visual Comparison of Documents,
  by Tuan M. V. Le and Hady W. Lauw,
  International Joint Conference on Artificial Intelligence (IJCAI'16), Jul 2016.
• Euclidean Co-Embedding of Ordinal Data for Multi-Type Visualization,
  by Dung D. Le and Hady W. Lauw,
  SIAM International Conference on Data Mining (SDM'16), May 2016.
• Structural Constraints for Multipartite Entity Resolution with Markov Logic Network,
  by Tengyuan Ye and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM'15), short paper, Oct 2015.
• A Convolution Kernel Approach to Identifying Comparisons in Text,
  by Maksim Tkachenko and Hady W. Lauw,
  Annual Meeting of the Association for Computational Linguistics (ACL'15), Jul 2015. (Code, Dataset)
• Review Synthesis for Micro-Review Summarization,
  by Thanh-Son Nguyen, Hady W. Lauw, and Panayiotis Tsaparas,
  ACM International Conference on Web Search and Data Mining (WSDM'15), Feb 2015.
• Mining Revenue-Maximizing Bundling Configuration,
  by Loc Do, Hady W. Lauw, and Ke Wang,
  Proceedings of the VLDB Endowment (PVLDB), Vol 8, No. 5, Jan 2015.  To be presented at VLDB'15.
• Probabilistic Latent Document Network Embedding,
  by Tuan M. V. Le and Hady W. Lauw,
  IEEE International Conference on Data Mining (ICDM'14), Dec 2014.
• Generative Modeling of Entity Comparisons in Text,
  by Maksim Tkachenko and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM'14), Nov 2014.
• Dynamic Clustering of Contextual Multi-Armed Bandits,
  by Trong T. Nguyen and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM'14), short paper, Nov 2014. (Code)
  
• Semantic Visualization for Spherical Representation,
  by Tuan M. V. Le and Hady W. Lauw,
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'14), Aug 2014.
• Manifold Learning for Jointly Modeling Topic and Visualization,
  by Tuan M. V. Le and Hady W. Lauw,
  AAAI Conference on Artificial Intelligence (AAAI'14), Jul 2014, Honorable Mention (Nominee for the Outstanding Paper Award). (Code)
• Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically,
  by Yuan Fang, Kevin C.-C. Chang, and Hady W. Lauw,
  International Conference on Machine Learning (ICML'14), Jun 2014.
• Modeling Contextual Agreement in Preferences,
  by Loc Do and Hady W. Lauw,
  International World Wide Web Conference (WWW'14), Apr 2014.
• Modeling Preferences with Availability Constraints,
  by Bing Tian Dai and Hady W. Lauw,
  IEEE International Conference on Data Mining (ICDM'13), Dec 2013.
• Using Micro-Reviews to Select an Efficient Set of Reviews,
  by Thanh-Son Nguyen, Hady W. Lauw, and Panayiotis Tsaparas,
  ACM Conference on Information and Knowledge Management (CIKM'13), Oct 2013.
• RoundTripRank: Graph-based Proximity with Importance and Specificity,
  by Yuan Fang, Kevin C.-C. Chang, and Hady W. Lauw,
  IEEE International Conference on Data Engineering (ICDE'13), Apr 2013.
• Mining Social Dependencies in Dynamic Interaction Networks,
  by Freddy C.-T. Chua, Hady W. Lauw, and Ee-Peng Lim,
  SIAM Conference on Data Mining (SDM'12), Apr 2012.
  
• CCRank: Parallel Learning to Rank with Cooperative Coevolution,
  by Shuaiqiang Wang, Byron J. Gao, Ke Wang, and Hady W. Lauw,
  AAAI Conference on Artificial Intelligence (AAAI 2011), Special Track on AI and the Web, Aug 2011.
• Parallel Learning to Rank for Information Retrieval,
  by Shuaiqiang Wang, Byron J. Gao, Ke Wang, and Hady W. Lauw,
  ACM SIGIR Conference (SIGIR 2011), poster paper, Jul 2011.
• Predicting Item Adoption Using Social Correlation,
  by Freddy C.-T. Chua, Hady W. Lauw, and Ee-Peng Lim,
  SIAM Conference on Data Mining (SDM'11), Apr 2011.
  
• Detecting Product Review Spammers using Rating Behaviors,
  by Ee-Peng Lim, Bing Liu, Nitin Jindal, Viet-An Nguyen, and Hady W. Lauw,
  ACM Conference on Information and Knowledge Management (CIKM'10), Oct 2010.
• Fuzzy Matching of Web Queries to Structured Data,
  by Tao Cheng, Hady W. Lauw, and Stelios Paparizos,
  IEEE International Conference on Data Engineering (ICDE'10), short paper, Mar 2010.
• Symphony: A Platform for Search-Driven Applications,
  by John C. Shafer, Rakesh Agrawal, and Hady W. Lauw,
  IEEE International Conference on Data Engineering (ICDE'10), demo paper, Mar 2010.
• On Mining Rating Dependencies in Online Collaborative Rating Networks,
  by Hady W. Lauw, Ee-Peng Lim, and Ke Wang,
  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'09), Apr 2009.
• Predicting Trusts among Users of Online Communities - An Epinions Case Study,
  by Haifeng Liu, Ee-Peng Lim, Hady W. Lauw, Minh-Tam Le, Aixin Sun, Jaideep Srivastava, and Young Ae Kim, ACM Conference on Electronic Commerce (EC'08), Jul 2008.(slides)
• On Ranking Controversies in Wikipedia: Models and Evaluation,
  by Ba-Quy Vuong, Ee-Peng Lim, Aixin Sun, Minh-Tam Le, Hady W. Lauw, and Kuiyu Chang,
  ACM Conference on Web Search and Data Mining (WSDM'08), Feb 2008.
• Measuring Article Quality in Wikipedia: Models and Evaluation,
  by Meiqun Hu, Ee-Peng Lim, Aixin Sun, Hady W. Lauw, and Ba-Quy Vuong,
  ACM Conference on Information and Knowledge Management (CIKM'07), Nov 2007.
• Summarizing Review Scores of Unequal Reviewers,
  by Hady W. Lauw, Ee-Peng Lim, and Ke Wang,
  SIAM Conference on Data Mining (SDM'07), short paper, Apr 2007.
• TUBE (Text-cUBE) for Discovering Documentary Evidence of Associations among Entities,
  by Hady W. Lauw, Ee-Peng Lim, and HweeHwa Pang,
  ACM Symposium on Applied Computing (SAC'07), Mar 2007.
• Measuring Qualities of Articles Contributed by Online Communities,
  by Ee-Peng Lim, Ba-Quy Vuong, Hady W. Lauw, and Aixin Sun,
  IEEE/WIC/ACM Conference on Web Intelligence (WI'06), Dec 2006.
• Bias and Controversy: Beyond the Statistical Deviation,
  by Hady W. Lauw, Ee-Peng Lim, and Ke Wang,
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'06), short paper, Aug 2006.

Workshops

• Estimating the Quality of Postings in the Real-time Web,
  by Hady W. Lauw, Alexandros Ntoulas, and Krishnaram Kenthapadi,
  WSDM 2010 Workshop on Search in Social Media (SSM'10).
• Symphony: Enabling Search-Driven Applications,
  by John C. Shafer, Rakesh Agrawal, and Hady W. Lauw,
  VLDB 2009 Workshop on Using Search Engine Technology for Information Management (USETIM'09).
• Leveraging Social Context for Searching Social Media,
  by Marc Smith, Vlad Barash, Lise Getoor and Hady W. Lauw,
  CIKM 2008 Workshop on Search in Social Media (SSM'08).
• Building a Web of Trust without Explicit Trust Ratings,
  by Young Ae Kim, Minh-Tam Le, Hady W. Lauw, Ee-Peng Lim, Haifeng Liu, and Jaideep Srivastava,
  ICDE 2008 Workshop on Data Engineering for Blogs, Social Media, and Web 2.0 (ICDE Workshop'08).
• On Improving Wikipedia Search Using Article Quality,
  by Meiqun Hu, Ee-Peng Lim, Aixin Sun, Hady W. Lauw, and Ba-Quy Vuong,
  CIKM 2007 Workshop on Web Information and Data Management (WIDM'07).
• A Multitude of Opinions: Mining Online Rating Data,
  by Hady W. Lauw and Ee-Peng Lim,
  NSF Symposium on Next-Generation Data Mining (NGDM'07).
• Mining Social Network from Spatio-Temporal Events,
  by Hady W. Lauw, Ee-Peng Lim, Teck-Tim Tan, and HweeHwa Pang,
  SDM 2005 Workshop on Link Analysis, Counterterrorism and Security (SDM Workshop'05).